The patient health records have a wealth of information related to disease progression, disease onset, prescription adherence and compliance. This data can be used for building AI applications for use-cases such as disease progression, disease onset and patient compliance like prescription adherence.
This talk will go through the process of designing such iuse-cases through a framework and an example use-case. It will also highlight a key requirement of running such models in production MLOps setting for deriving impact and value from such AI development This talk can be part of other similar talks in a 2-hour symposium that present the AI/ML approaches that can use patient data for AI applications.
Learning Objectives:
Framework for building an AI use-case using patient data
Understand key aspects of data, AI models and use-case specification
Upon completion, participant will understand the ways and importance of running AI applications in a production MLOps setting
